Behind Locke and Key: A Philosophical Reorientation of Privacy as Property in Oneself and its Applications to Personal Consumer Data

Abstract

The U.S. law has a weak conception of the right to privacy– one that fails to adequately protect consumers in the technological age. This project draws primarily upon Locke, Kant, and Ripstein to articulate and apply a reorientation of the right to privacy and defend that reorientation as constitutionally sound. Specifically, Locke’s property theory and Kant’s innate right suggest that the right to privacy is derived from an exclusive right to control one’s person, which is one’s most fundamental property. In applying this understanding of privacy, there is a case for a robust protection of consumer data. Further, Ripstein’s analysis of public provisions highlights that the state has a positive duty to secure the conditions for the effective exercise of the right to privacy. Doing so entails state regulation of what I argue are illegitimate business-to-consumer consent agreements. In short, this reorientation provides grounds for a protection and maintenance of a morally robust right to privacy in the technological age that can pass constitutional muster.

Links

PhilArchive



    Upload a copy of this work     Papers currently archived: 92,283

External links

Setup an account with your affiliations in order to access resources via your University's proxy server

Through your library

  • Only published works are available at libraries.

Similar books and articles

Privacy Is Power.Carissa Véliz - 2020 - London, UK: Penguin (Bantam Press).
An Intrusion Theory of Privacy.George E. Panichas - 2014 - Res Publica 20 (2):145-161.
Information ethics and the law of data representations.Dan L. Burk - 2008 - Ethics and Information Technology 10 (2-3):135-147.
Big Data Ethics in Research.Nicolae Sfetcu - 2019 - Bucharest, Romania: MultiMedia Publishing.
Inaccuracy as a privacy-enhancing tool.Gloria González Fuster - 2010 - Ethics and Information Technology 12 (1):87-95.
From privacy to anti-discrimination in times of machine learning.Thilo Hagendorff - 2019 - Ethics and Information Technology 21 (4):331-343.
KDD, data mining, and the challenge for normative privacy.Herman T. Tavani - 1999 - Ethics and Information Technology 1 (4):265-273.

Analytics

Added to PP
2023-01-17

Downloads
2 (#1,808,473)

6 months
2 (#1,206,195)

Historical graph of downloads

Sorry, there are not enough data points to plot this chart.
How can I increase my downloads?

Citations of this work

No citations found.

Add more citations

References found in this work

No references found.

Add more references